Evidence map›Paper›PMID 27784404›Full record

ArticleSleep2016

Arousal Intensity is a Distinct Pathophysiological Trait in Obstructive Sleep Apnea.

Jason Amatoury, Ali Azarbarzin, Magdy Younes, Amy S Jordan, Andrew Wellman, Danny J Eckert

Open access · bronzeAbstract read
In one paragraph

Article in Sleep, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 103 citations in OpenAlex.

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  9. Sleep Differences in Firefighters: Barracks vs. Home.International journal of environmental research and public health · 2024
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  17. Association of cortical arousals with sleep-disordered breathing events.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Article
  18. The effectiveness of sleep breathing impairment index in assessing obstructive sleep apnea severity.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Article
  19. Automated deep neural network analysis of lateral cephalogram data can aid in detecting obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Jason AmatouryNeuroscience Research Australia (NeuRA), and the School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia.
Ali AzarbarzinDivision of Sleep Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Magdy YounesYRT Ltd, Winnipeg, Manitoba, Canada.
Amy S JordanInstitute for Breathing and Sleep, and Melbourne School of Physiological Sciences, University of Melbourne, Melbourne, Victoria, Australia.
Andrew WellmanDivision of Sleep Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Danny J EckertNeuroscience Research Australia (NeuRA), and the School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia.
Brigham and Women's Hospital · USNeuroscience Research Australia · AUInstitute for Breathing and Sleep · AUUniversity of Manitoba · CA

Funding

SLEEP, AIRWAY PATENCY, AND THE PHARYNGEAL MUSCULATURER01HL048531 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI WHITE, DAVID P. · 1992 to 2009
$3.8M
NHLBI NIH HHS R01 HL048531
6 · The paper itself

Abstract

STUDY

objectivesArousals from sleep vary in duration and intensity. Accordingly, the physiological consequences of different types of arousals may also vary. Factors that influence arousal intensity are only partly understood. This study aimed to determine if arousal intensity is mediated by the strength of the preceding respiratory stimulus, and investigate other factors mediating arousal intensity and its role on post-arousal ventilatory and pharyngeal muscle responses.

methodsData were acquired in 71 adults (17 controls, 54 obstructive sleep apnea patients) instrumented with polysomnography equipment plus genioglossus and tensor palatini electromyography (EMG), a nasal mask and pneumotachograph, and an epiglottic pressure sensor. Transient reductions in CPAP were delivered during sleep to induce respiratory-related arousals. Arousal intensity was measured using a validated 10-point scale.

resultsAverage arousal intensity was not related to the magnitude of the preceding respiratory stimuli but was positively associated with arousal duration, time to arousal, rate of change in epiglottic pressure and negatively with BMI (R

conclusionsAverage arousal intensity is independent of the preceding respiratory stimulus. This is consistent with arousal intensity being a distinct trait. Respiratory and pharyngeal muscle responses increase with arousal intensity. Thus, patients with higher arousal intensities may be more prone to respiratory control instability. These findings are important for sleep apnea pathogenesis.

Indexed as

PolysomnographyAdultArousalCerebral CortexContinuous Positive Airway PressureFemaleHumansMaleMiddle AgedPharyngeal MusclesPulmonary VentilationSleep Apnea, ObstructiveTime Factorsarousal thresholdgenioglossusrespiratory physiologysleep-disordered breathingtensor palatini

Identifiers

PMID27784404
PMCPMC5103797
OpenAlexW2544964758

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.